sample_rate: 16000
compute_eval_loss: false
log_prediction: true
rnnt_reduction: mean_volume
skip_nan_grad: false
model_defaults:
  enc_hidden: 1024
  pred_hidden: 640
  joint_hidden: 640
  tdt_durations:
  - 0
  - 1
  - 2
  - 3
  - 4
  num_tdt_durations: 5
train_ds:
  use_lhotse: true
  skip_missing_manifest_entries: true
  input_cfg: null
  tarred_audio_filepaths: null
  manifest_filepath: null
  sample_rate: 16000
  shuffle: true
  num_workers: 2
  pin_memory: true
  max_duration: 40.0
  min_duration: 0.1
  text_field: answer
  batch_duration: null
  use_bucketing: true
  bucket_duration_bins: null
  bucket_batch_size: null
  num_buckets: 30
  bucket_buffer_size: 20000
  shuffle_buffer_size: 10000
validation_ds:
  use_lhotse: true
  manifest_filepath: null
  sample_rate: 16000
  batch_size: 16
  shuffle: false
  max_duration: 40.0
  min_duration: 0.1
  num_workers: 2
  pin_memory: true
  text_field: answer
tokenizer:
  dir: /lustre/fsw/portfolios/llmservice/users/nkoluguri/datasets/tokenizers/en_mm_ytc/tokenizer_spe_bpe_v1024/
  type: bpe
  model_path: nemo:705f11d22dc04b169effc35ce5cd1361_tokenizer.model
  vocab_path: nemo:4cf78c8ca4ca44fca36c3754478fb188_vocab.txt
  spe_tokenizer_vocab: nemo:a4715c7f6b2d4c2bb709306073d0c0a4_tokenizer.vocab
preprocessor:
  _target_: nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor
  sample_rate: 16000
  normalize: per_feature
  window_size: 0.025
  window_stride: 0.01
  window: hann
  features: 128
  n_fft: 512
  log: true
  frame_splicing: 1
  dither: 1.0e-05
  pad_to: 0
  pad_value: 0.0
spec_augment:
  _target_: nemo.collections.asr.modules.SpectrogramAugmentation
  freq_masks: 2
  time_masks: 10
  freq_width: 27
  time_width: 0.05
encoder:
  _target_: nemo.collections.asr.modules.ConformerEncoder
  feat_in: 128
  feat_out: -1
  n_layers: 24
  d_model: 1024
  use_bias: false
  subsampling: dw_striding
  subsampling_factor: 8
  subsampling_conv_channels: 256
  causal_downsampling: false
  reduction: null
  reduction_position: null
  reduction_factor: 1
  ff_expansion_factor: 4
  self_attention_model: rel_pos
  n_heads: 8
  att_context_size:
  - -1
  - -1
  att_context_style: regular
  xscaling: false
  untie_biases: true
  pos_emb_max_len: 5000
  conv_kernel_size: 9
  conv_norm_type: batch_norm
  conv_context_size: null
  dropout: 0.1
  dropout_pre_encoder: 0.1
  dropout_emb: 0.0
  dropout_att: 0.1
  stochastic_depth_drop_prob: 0.0
  stochastic_depth_mode: linear
  stochastic_depth_start_layer: 1
decoder:
  _target_: nemo.collections.asr.modules.RNNTDecoder
  normalization_mode: null
  random_state_sampling: false
  blank_as_pad: true
  prednet:
    pred_hidden: 640
    pred_rnn_layers: 2
    t_max: null
    dropout: 0.2
  vocab_size: 1024
joint:
  _target_: nemo.collections.asr.modules.RNNTJoint
  log_softmax: null
  preserve_memory: false
  fuse_loss_wer: true
  fused_batch_size: 4
  jointnet:
    joint_hidden: 640
    activation: relu
    dropout: 0.2
    encoder_hidden: 1024
    pred_hidden: 640
  num_extra_outputs: 5
  num_classes: 1024
  vocabulary:
  - <unk>
  - ▁t
  - ▁th
  - ▁a
  - in
  - ▁the
  - re
  - ▁w
  - ▁o
  - ▁s
  - at
  - ou
  - er
  - nd
  - ▁i
  - ▁b
  - ▁c
  - 'on'
  - ▁h
  - ing
  - ▁to
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  - en
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  - ▁p
  - an
  - ▁d
  - es
  - or
  - ll
  - ▁of
  - ▁and
  - ▁y
  - ▁l
  - ▁I
  - it
  - ▁in
  - is
  - ed
  - ▁g
  - ▁you
  - ar
  - ▁that
  - om
  - as
  - ▁n
  - ve
  - us
  - ic
  - ow
  - al
  - ▁it
  - ▁be
  - ▁wh
  - le
  - ion
  - ut
  - ot
  - ▁we
  - ▁is
  - ▁e
  - et
  - ay
  - ▁re
  - ▁on
  - ▁T
  - ▁A
  - ▁ha
  - ent
  - ke
  - ct
  - ▁S
  - ig
  - ver
  - ▁Th
  - all
  - id
  - ▁for
  - ro
  - ▁he
  - se
  - ▁this
  - ld
  - ly
  - ▁go
  - ▁k
  - ▁st
  - st
  - ch
  - ▁li
  - ▁u
  - am
  - ur
  - ce
  - ith
  - im
  - ▁so
  - ▁have
  - ▁do
  - ht
  - th
  - ▁an
  - ▁with
  - ad
  - ▁r
  - ir
  - ▁was
  - ▁as
  - ▁W
  - ▁are
  - ust
  - ally
  - ▁j
  - ▁se
  - ation
  - od
  - ere
  - ▁like
  - ▁not
  - ▁kn
  - ight
  - ▁B
  - ▁they
  - ▁And
  - ▁know
  - ome
  - op
  - ▁can
  - ▁or
  - ▁sh
  - ▁me
  - ill
  - ant
  - ck
  - ▁what
  - ▁at
  - ▁ab
  - ould
  - ol
  - ▁So
  - ▁C
  - use
  - ter
  - il
  - ▁but
  - ▁just
  - ▁ne
  - ▁de
  - ra
  - ore
  - ▁there
  - ul
  - out
  - ▁con
  - ▁all
  - ▁The
  - ers
  - ▁H
  - ▁fr
  - ▁pro
  - ge
  - ea
  - ▁Y
  - ▁O
  - ▁M
  - pp
  - ▁com
  - ess
  - ▁ch
  - ▁al
  - est
  - ate
  - qu
  - ▁lo
  - ▁ex
  - very
  - ▁su
  - ain
  - ▁one
  - ca
  - art
  - ist
  - if
  - ive
  - ▁if
  - ink
  - nt
  - ab
  - ▁about
  - ▁going
  - ▁v
  - ▁wor
  - um
  - ok
  - ▁your
  - ▁my
  - ind
  - ▁get
  - cause
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  - ▁don
  - ri
  - pe
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  - ity
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  - ment
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  - ▁some
  - ich
  - and
  - ▁think
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  - ▁G
  - os
  - ▁D
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  - ▁by
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  - ▁int
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  - ▁tr
  - ▁then
  - ack
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  - ▁thing
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  - ▁say
  - ▁R
  - ▁people
  - ▁see
  - ▁who
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  - ure
  - ect
  - ear
  - ▁tim
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  - ▁You
  - ▁would
  - ▁when
  - ven
  - ▁our
  - ci
  - ▁really
  - ▁more
  - ound
  - ose
  - ak
  - ▁co
  - ide
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  - eah
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  - ine
  - ▁act
  - ther
  - ▁these
  - ▁how
  - ▁now
  - ▁sa
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  - ▁look
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  - ▁time
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  - ▁ar
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  - ▁work
  - ▁their
  - are
  - ▁his
  - per
  - ions
  - ▁im
  - ▁ag
  - ▁J
  - ▁no
  - ▁en
  - ▁got
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  - ▁sp
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  - ▁also
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  - ▁cl
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  - ple
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  - ite
  - age
  - omet
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  - own
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  - ▁part
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  - ▁pre
  - ▁two
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  - ert
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  - ▁world
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  - ▁dec
  - ular
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  - ▁real
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  - ▁thought
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  - ▁read
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  - ▁sch
  - ▁el
  - ah
  - atter
  - ▁exper
  - ▁four
  - ▁ele
  - ▁cou
  - ont
  - ▁called
  - ▁partic
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  - ▁everything
  - ▁eff
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  - T
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  - x
  - W
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  - C
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  - '0'
  - O
  - '-'
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  - '1'
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  - D
  - 'N'
  - G
  - F
  - R
  - E
  - '2'
  - J
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  - '5'
  - '9'
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  - K
  - '4'
  - V
  - '8'
  - '6'
  - '7'
  - '!'
  - '%'
  - Q
  - $
  - Z
  - X
  - é
  - /
  - í
  - á
  - £
  - ó
  - ā
  - ü
  - ñ
  - ö
  - è
  - ç
  - à
  - ¿
  - μ
  - π
  - ä
  - ú
  - θ
  - ã
  - φ
  - ī
  - σ
  - ê
  - ρ
  - â
  - ô
  - ^
  - €
  - É
  - ū
  - Δ
  - λ
  - α
  - τ
  - æ
  - а
  - о
  - ν
  - î
  - γ
  - ψ
  - ē
  - т
  - ß
  - ω
  - ï
  - ć
  - č
  - ε
  - е
  - и
  - ò
  - р
  - β
  - ø
  - ł
  - δ
  - η
  - п
  - ë
  - н
  - с
  - š
  - Ü
  - å
  - ń
  - ś
  - я
  - đ
  - л
  - м
  - Ö
  - û
  - ș
  - в
  - Á
  - Ø
  - ù
  - ο
  - ч
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  - ι
  - б
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  - Ś
  - Ω
  - κ
  - υ
  - ì
  - Č
  - έ
  - х
  - ы
  - Å
  - Ç
  - ż
  - ί
  - ζ
  - χ
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  - Æ
  - Í
  - õ
  - ě
  - ħ
  - Ł
  - œ
  - Ž
  - ț
  - Γ
  - П
  - д
  - з
  - ф
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decoding:
  strategy: greedy_batch
  model_type: tdt
  durations:
  - 0
  - 1
  - 2
  - 3
  - 4
  greedy:
    max_symbols: 10
  beam:
    beam_size: 2
    return_best_hypothesis: false
    score_norm: true
    tsd_max_sym_exp: 50
    alsd_max_target_len: 2.0
aux_ctc:
  ctc_loss_weight: 0.3
  use_cer: false
  ctc_reduction: mean_batch
  decoder:
    _target_: nemo.collections.asr.modules.ConvASRDecoder
    feat_in: null
    num_classes: -1
    vocabulary: []
  decoding:
    strategy: greedy
interctc:
  loss_weights: []
  apply_at_layers: []
loss:
  loss_name: tdt
  tdt_kwargs:
    fastemit_lambda: 0.0
    clamp: -1.0
    durations:
    - 0
    - 1
    - 2
    - 3
    - 4
    sigma: 0.02
    omega: 0.1
optim:
  name: adamw
  lr: 0.0001
  betas:
  - 0.9
  - 0.98
  weight_decay: 0.001
  sched:
    name: CosineAnnealing
    warmup_steps: 0
    warmup_ratio: null
    min_lr: 1.0e-06
labels:
- <unk>
- ▁t
- ▁th
- ▁a
- in
- ▁the
- re
- ▁w
- ▁o
- ▁s
- at
- ou
- er
- nd
- ▁i
- ▁b
- ▁c
- 'on'
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target: nemo.collections.asr.models.rnnt_bpe_models.EncDecRNNTBPEModel
nemo_version: 2.4.0rc0